Accès ouvert

Major discrepancy between clinical and autopsy diagnosis: a descriptive single-center analysis and its implications for the South African public health system

Article scientifique 2026 Anglais

Résumé

Background A global decline in the number of clinical post-mortems sought and conducted indicates a diminishing necessity for post-mortem exams. Notwithstanding advancements in medical technology, autopsies continue to serve as a pertinent method for ascertaining the cause of death. Objectives This study aimed to identify prevalent major misdiagnoses in clinical settings through autopsy and to investigate potential contributing factors. Methods A retrospective cross-sectional study was conducted, including 51 autopsies retrieved from the NHLS Laboratory Information System (LIS) and classified as either Class I or Class II discrepancies according to the Goldman criteria. Stata-18 was used to analyse descriptive data and examine the associations between clinicopathological factors and the major discrepancy classes. Results Of the 51 autopsies included in the study, 68.63% ( n = 35) were female in contrast to 31.37% ( n = 16) of males, with a mean death age of 39.3 years. A total of 88.24% ( n = 45) of the cases were classified as Class I discrepancies, and 11.76% ( n = 6) were Class II. There was no evidence of an association between discrepancies and age, sex and disease type. However, autopsy diagnosis showed a statistically significant association with Class I discrepancies ( p ≤ 0.05) accounted for the largest proportion of misdiagnoses, with pulmonary disease being the most frequently misdiagnosed condition at 44.44% ( n = 20). Conclusions Autopsies remain a pertinent clinical audit tool despite advances in medical technology. The hospital should provide funds for autopsies and encourage doctors to utilize them as a clinical audit instrument to enhance patient management.

Citer ce document

Khaba, M., Maaga, K., Kgokong, N. (2026). Major discrepancy between clinical and autopsy diagnosis: a descriptive single-center analysis and its implications for the South African public health system. https://doi.org/10.3389/fmed.2026.1884301

Accès au document

Texte intégral en lecture en ligne, réservé aux abonnés SPHAERO et aux membres de l'institution. Se connecter

Voir l'article sur le site de la revue

Statistiques

Consultations : 1

Téléchargements : 0